Python code for forecasting the monthly average temperature in Philadelphia using the Seasonal ARIMA (SARIMA) model. The model is used to generate future temperature forecasts based on historical monthly observations.
- Stationary testing
- Data differencing
- Data transformation
- Plotting of ACF and PACF
- Determining optimal SARIMA model parameters
- Diagnostic checking of the model
- Forecasting Philadelphia's average monthly temperature for the next 30 months
- Visualization of actual vs forecasted monthly temperatures
- Python (v3.10 or higher)
- Library on
python-code.ipynb